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• W2003236838 abstract "In this paper, an optimized central pattern generator (CPG) network is proposed for humanoid walking control. The CPG controller targets three joints (hip, knee and ankle) of each leg including 4 degrees of freedom (DOFs). The connections for CPG units of related joints are simplified and optimized hierarchically. The total number of CPG parameters is greatly decreased in this way. Moreover, the genetic algorithm (GA) is adopted to acquire the optimal parameters in batch and the complexity of the algorithm is decreased greatly. Finally, the proposed CPG controller is applied to the straight and circular walking on a commercial humanoid robot NAO, both in simulations and practices." @default.
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• W2003236838 date "2013-12-01" @default.
• W2003236838 modified "2023-10-16" @default.
• W2003236838 title "Optimized central pattern generator network for NAO humanoid walking control" @default.
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• W2003236838 doi "https://doi.org/10.1109/robio.2013.6739676" @default.
• W2003236838 hasPublicationYear "2013" @default.
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